Yuan Liu

Computer Vision and Pattern Recognition · Neural Information Processing Systems · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 158 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yuan Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yoshua Bengio
  6. Jonathan Ho
  7. Yann LeCun
  8. Alex Nichol
  9. Ilya Sutskever
  10. Ross B. Girshick

Who trusts Yuan Liu overall

  1. Jiaxiang Tang
  2. Minghua Liu
  3. Ruoxi Shi
  4. Xiaoxiao Long
  5. Jiale Xu
  6. Andreas Blattmann
  7. Ruiqi Gao
  8. Vikram S. Voleti

Papers from Yuan Liu's perspective

Ordered by how strongly the researchers Yuan Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers